Naeem Radi

613 total citations
11 papers, 376 citations indexed

About

Naeem Radi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Naeem Radi has authored 11 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Naeem Radi's work include Image and Signal Denoising Methods (3 papers), Advanced Data Compression Techniques (3 papers) and Imbalanced Data Classification Techniques (2 papers). Naeem Radi is often cited by papers focused on Image and Signal Denoising Methods (3 papers), Advanced Data Compression Techniques (3 papers) and Imbalanced Data Classification Techniques (2 papers). Naeem Radi collaborates with scholars based in United Kingdom, Iraq and United Arab Emirates. Naeem Radi's co-authors include Abir Hussain, Dhiya Al‐Jumeily, Abir Hussain, Robert Keight, Raghad Al-Shabandar, Andy Laws, Paulo Lisböa, Haya Alaskar, Paul Fergus and Ahmed J. Aljaaf and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Nuclear Science and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In The Last Decade

Naeem Radi

10 papers receiving 359 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Naeem Radi United Kingdom	7	180	114	81	42	30	11	376
Atilla Elçi Türkiye	9	62 0.3×	142 1.2×	25 0.3×	19 0.5×	18 0.6×	62	299
Prerna Mahajan India	7	109 0.6×	133 1.2×	17 0.2×	21 0.5×	8 0.3×	16	300
G. Geetha India	10	85 0.5×	104 0.9×	17 0.2×	18 0.4×	9 0.3×	53	349
C. Shunmuga Velayutham India	8	43 0.2×	155 1.4×	21 0.3×	15 0.4×	6 0.2×	45	253
Adnan Mohsin Abdulazeez Iraq	11	45 0.3×	128 1.1×	5 0.1×	47 1.1×	15 0.5×	37	345
Syed Muhammad Saqlain Pakistan	9	57 0.3×	190 1.7×	5 0.1×	22 0.5×	7 0.2×	24	377
Ernst A. Heinz Switzerland	7	77 0.4×	130 1.1×	54 0.7×	18 0.4×	8 0.3×	21	378
Debajyoti Mondal Canada	10	36 0.2×	30 0.3×	12 0.1×	14 0.3×	3 0.1×	50	290
Karim El Moutaouakil Morocco	11	97 0.5×	211 1.9×	7 0.1×	15 0.4×	12 0.4×	72	384
Zhiling Cai China	9	145 0.8×	191 1.7×	3 0.0×	13 0.3×	18 0.6×	30	334

Countries citing papers authored by Naeem Radi

Since Specialization

Citations

This map shows the geographic impact of Naeem Radi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naeem Radi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naeem Radi more than expected).

Fields of papers citing papers by Naeem Radi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naeem Radi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naeem Radi. The network helps show where Naeem Radi may publish in the future.

Co-authorship network of co-authors of Naeem Radi

This figure shows the co-authorship network connecting the top 25 collaborators of Naeem Radi. A scholar is included among the top collaborators of Naeem Radi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naeem Radi. Naeem Radi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Hussain, Abir, et al.. (2018). Image compression techniques: A survey in lossless and lossy algorithms. Neurocomputing. 300. 44–69. 169 indexed citations

2.

Hussain, Abir, Dhiya Al‐Jumeily, Ahmed J. Aljaaf, & Naeem Radi. (2018). Backpropagation Approach Supported by Image Compression Algorithm for the Classification of Chronic Condition Diseases. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 1–1. 6 indexed citations

3.

Fergus, Paul, et al.. (2017). Machine learning approaches for the prediction of obesity using publicly available genetic profiles. Liverpool John Moores University. 2743–2750. 39 indexed citations

4.

Al-Shabandar, Raghad, et al.. (2017). Machine learning approaches to predict learning outcomes in Massive open online courses. 713–720. 84 indexed citations

5.

Aljaaf, Ahmed J., Dhiya Al‐Jumeily, Abir Hussain, et al.. (2015). Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets. 228–232. 3 indexed citations

6.

Hussain, Abir, Dhiya Al‐Jumeily, Haya Alaskar, & Naeem Radi. (2015). Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction. Neurocomputing. 188. 23–30. 27 indexed citations

7.

Hussain, Abir, et al.. (2015). An Investigation into Gender Disparities in the Field of Computing. Liverpool John Moores University. 20–25. 3 indexed citations

8.

Hussain, Abir, et al.. (2015). The utilisation of social media for bridging the gap between patients and pharmaceutical companies. 25. 179–183. 1 indexed citations

9.

Hussain, Abir, Dhiya Al‐Jumeily, Naeem Radi, & Paulo Lisböa. (2014). Hybrid Neural Network Predictive-Wavelet Image Compression System. Neurocomputing. 151. 975–984. 37 indexed citations

10.

Radi, Naeem, Abir Hussain, & Dhiya Al‐Jumeily. (2006). Adaptive Variable-Length Quantiser for Image Compression. 1–5.

11.

Radi, Naeem, et al.. (1996). Robustness against SEU of an artificial neural network space application. IEEE Transactions on Nuclear Science. 43(3). 973–978. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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